Sciweavers

2591 search results - page 269 / 519
» Segmentation of medical images using a genetic algorithm
Sort
View
312
Voted
ICPR
2010
IEEE
16 years 2 days ago
Live Cell Segmentation in Fluorescence Microscopy via Graph Cut
We propose a novel Markovian segmentation model which takes into account edge information. By construction, the model uses only pairwise interactions and its energy is submodula...
Milán Leskó, Zoltan Kato, Antal Nagy, Imre Gombo...
CVPR
2003
IEEE
16 years 8 months ago
Word Image Matching Using Dynamic Time Warping
Libraries and other institutions are interested in providing access to scanned versions of their large collections of handwritten historical manuscripts on electronic media. Conve...
Toni M. Rath, R. Manmatha
BMCBI
2007
157views more  BMCBI 2007»
15 years 6 months ago
Impact of image segmentation on high-content screening data quality for SK-BR-3 cells
Background: High content screening (HCS) is a powerful method for the exploration of cellular signalling and morphology that is rapidly being adopted in cancer research. HCS uses ...
Andrew A. Hill, Peter LaPan, Yizheng Li, Steve Han...
CVPR
2010
IEEE
16 years 3 months ago
Segmenting Video Into Classes of Algorithm-Suitability
Given a set of algorithms, which one(s) should you apply to, i) compute optical flow, or ii) perform feature matching? Would looking at the sequence in question help you decide? I...
Oisin Mac Aodha, Gabriel Brostow, marc Pollefeys
CVBIA
2005
Springer
16 years 9 days ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...